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in bioinformatics or computer programming. A3. Advanced knowledge of content covered within the courses taught on. A4. Awareness of the intended learning outcomes of the courses taught on. A5
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for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning and Data
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and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
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of the following: machine learning, deep learning, computer vision, omics data analysis. E3 Experience of scientific writing. E4 Proven ability to deliver quality outputs in a timely and efficient
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assumptions behind them. B3 Familiarity with deep learning and machine learning applications in imaging Skills Essential: C1 Strong programming skills including proficiency in languages commonly used
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of antiviral host-mechanisms and comparative virology datasets, including those derived from transcriptomics experiments. The role will also involve the application of machine learning approaches to virus
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and procedures relevant to the role. A3 Computer literate, with up-to date knowledge of and experience of working with Office 365. A4 Detailed working knowledge and understanding of information
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the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
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-solving activities that support the students in achieving the course intended learning outcomes. To offer assistance and advice to students as appropriate, including the provision of detailed explanations
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. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial characteristics of TMEs [1]. In lung cancer